Demand Forecast
Improve forecast accuracy with key drivers
The system extracts core variables from
various factors to interpret prediction results.
It inspects the differences in orders,
production volume, and production performance
against demand forecasts.
It analyzes the root causes of demand fluctuations
and monitors for anomalous demand.
Demand Planning
Manage your demand data efficiently
Interconnected demand data is managed based on
hierarchical structures (customer, product, organization, region, etc.).
It reflects demand constraint structures such as
priorities, new product introductions, sales discontinuation,
and production halts. It generates business logic for customer allocation of inventory and production volume, and order confirmation-inventory linkage.
Capacity Planning
Create optimal capacity plan to meet demand
Demand and order allocation plans at the hub level are
established considering overall capacity and inventory.
It reflects production constraint structures such as BOD between
sales and production hubs, material quantities,
and customer commitments.
It simulates the fulfillment of demand and order
quantities while altering the production hub's capacity.
Factory Planning
Establish production plan to maintain overall balance
Production plans at the process unit level are established
based on production capacity modeling at the process and equipment unit level. It reflects constraint structures specific
to each process and equipment, including the semi-finished
product structure and work-in-process inventory within
the process. It monitors Bottleneck processes by checking
production status, semi-finished WIP levels, and finished
goods inventory levels.
Inventory Analysis
Enhance transparency onto inventory level
The system provides visibility into inventory status across
products, regions, logistics states, customers, and orders.
Based on the evaluation of inventory levels,
it suggests safety stock quantity settings and potential
replenishment timing. It analyzes the root causes of
inventory level fluctuations and monitors for anomalies.
Detailed Scheduling
Align plan and execution accordingly
Detailed, Lot-level work sequences are proposed to
fulfill production targets allocated to each process.
It integrates with source systems to reflect work status
constraints at the Lot ID and equipment ID level for
specific time points. Production planning and execution
are synchronized to guide shop floor operations and
manage performance.
What-if Simulation
Simulate and analyze multiple supply chain scenarios
The system facilitates the creation and management of
scenarios by allowing modification of selective data
within various supply chain components.
It supports user-friendly features such as copying existing
scenarios, pasting data, and making edits.
It compares and analyzes simulation execution results
across multiple scenarios to recommend the optimal alternative.
Material Planning
Operate supply network to handle future risk
The system manages BOM data and establishes material ordering plans in conjunction with the production schedule.
It monitors the status and estimated arrival dates of materials
and manages corresponding inventory levels.
It computes future periods' material surplus/shortfall
forecasts and provides alerts.
S&OP Management
Transform data into information to run insightful S&OP meeting
It aggregates and summarizes data generated across various domains—including demand, production, and inventory—to deliver actionable insights. Necessary reports are efficiently customized based on pre-built S&OP meeting templates.
The system supports drill-down analysis on issues
by navigating through interconnected screens.
No-code Supply Chain Modeling
Welcome, supply chain newbies
Using the built-in modeling language (NEMOSYN),
users can model their supply chain without any coding.
The supply chain can also be automatically modeled through interactions with Generative AI. In addition, Generative
AI manages system operations based on the modeled
supply chain, including scenario creation and editing.
Natural Language based Analysis
Say hello to your private assistant
By interacting with Generative AI, users can easily analyze
the status and issues of their supply chain operations.
When the AI is asked to format the analysis results,
it automatically creates a report.
The platform also offers templates that let users teach the
AI their own preferred analysis steps.
